Sr. Devops Engineer

Sr. DevOps Engineer

The Doyle Group is a proven partner for Placement and Consulting services, headquartered in Denver, CO. Our core mission is to forge genuine partnerships with our clients who seek strategic talent solutions and to assist highly skilled candidates looking for their next career opportunity. With over 30 years of industry experience, our consultative approach allows us to provide a higher level of guidance and insight, empowering our clients to secure top IT talent that fits seamlessly into their team and culture. We look forward to collaborating to help you achieve your career goals.

Position Summary
Our client, who is in the technology space, is looking for a Senior DevOps Engineer to join their growing platform organization. This person will serve as a senior technical contributor focused on strengthening cloud infrastructure, expanding DevOps capabilities, and improving engineering processes across a modern Azure-based environment.

This role is ideal for someone who is deeply hands-on, brings strong experience building Kubernetes environments from the ground up, and can help introduce structure, documentation, and repeatable processes to a fast-moving team. You will work closely with DevOps, infrastructure, and product innovation teams to support platform scalability, automation, and modernization initiatives.

This position will also play a key role in enabling the organization’s broader AI-forward transformation by building the infrastructure, deployment practices, and operational maturity needed to support modern engineering workflows and next-generation product development.

This is a hybrid role with a preference for candidates in the Denver area who can work onsite approximately one day per week.


Responsibilities

• Lead the design, support, and ongoing enhancement of cloud infrastructure primarily within Azure and AKS environments.
• Build, maintain, and improve Infrastructure-as-Code frameworks using Terraform and Terragrunt.
• Support and optimize CI/CD pipelines and deployment workflows across engineering teams.
• Advance GitOps and deployment automation practices to improve scalability, consistency, and reliability.
• Automate configuration management and operational processes across Linux and Windows-based systems using tools such as Ansible.
• Strengthen monitoring, observability, and troubleshooting practices across distributed systems and containerized workloads.
• Partner closely with DevOps, product, and innovation teams to support platform needs and remove capacity constraints.
• Document processes, establish standards, and help build more mature DevOps operating practices across the organization.
• Provide mentorship and technical guidance to other engineers as the team grows.
• Support production issues and help troubleshoot complex platform or infrastructure problems in a hands-on capacity.
• Partner with engineering and product innovation teams to build the platform foundations needed to support emerging AI-enabled development and delivery initiatives.
• Help establish scalable infrastructure, automation, and operational practices that enable rapid experimentation while maintaining security, stability, and reliability.

Minimum Experience

• 5+ years of experience in DevOps, SRE, platform engineering, or similar technically intensive roles.
• Strong hands-on experience with Azure cloud environments.
• Deep expertise with Kubernetes, including building and supporting environments from the ground up.
• Experience working with microservices architectures in production.
• Advanced experience with Terraform, Terragrunt, or similar Infrastructure-as-Code tools.
• Strong experience building and maintaining CI/CD pipelines and release workflows.
• Hands-on experience with automation and configuration management tools such as Ansible.
• Strong Linux knowledge and scripting experience.
• Demonstrated ability to troubleshoot complex infrastructure and platform issues.
• Exposure to AI-enabled engineering workflows, modern developer productivity tooling, or teams undergoing AI-driven transformation.
• Excellent written and verbal communication skills, with the ability to work effectively across technical teams.
• Comfort working in fast-paced, evolving environments with ambiguity and changing priorities.
• Experience creating or improving processes, documentation, and operational standards rather than simply following existing frameworks.

Additional Plus

• Experience working in startup, high-growth, or transformation-focused environments.
• Exposure to both Linux and Windows infrastructure.
• Experience with GitOps tools such as ArgoCD.
• Background with observability tooling such as Prometheus, Grafana, Loki, Tempo, or OpenTelemetry.
• Experience with container registries, image pipelines, or vulnerability scanning.
• Interest in mentoring others and growing into leadership responsibilities over time.
• Experience working in services-based organizations or other environments that require strong client-facing or cross-functional communication.

Salary / Wage Range
$160,000 - $170,000 / Year
Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies and experience and may fall outside of the range shown. The Doyle Group offers a competitive rewards package, which includes a 401k, healthcare coverage and other benefits.